IBM Journey to AI blog

SEPTEMBER 19, 2023

By analyzing datasets, data scientists can better understand their potential use in an algorithm or machine learning model. The data science lifecycle Data science is iterative, meaning data scientists form hypotheses and experiment to see if a desired outcome can be achieved using available data.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

phData

DECEMBER 12, 2023

We are going to break down what we know about Victory Vicky based on all the data sources we have moved into our data warehouse. The loyalty program is located in the MarTech Stack and moves data effortlessly into the data warehouse. This information is also funneled into the data warehouse.

Data Warehouse 52

Data Warehouse Machine Learning Machine Learning Tableau 52

IBM Journey to AI blog

JULY 17, 2023

It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud. Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent.

AI 74

AI AI Machine Learning Machine Learning 74

phData

APRIL 18, 2023

Faced with these challenges, asset servicers have acquired numerous technologies over time to meet their risk management, fund analytics, and settlement needs, leading to data fragmentation and inheriting complex data flows. Data movements lead to high costs of ETL and rising data management TCO.

Data Silos 52

Data Silos ETL Clustering Analytics 52

Pickl AI

JULY 3, 2023

Writing technical documents on database content Mapping the various databases used in an organisation Developing, designing and analysing data architecture and data warehouses. BI Developer Skills Required To excel in this role, BI Developers need to possess a range of technical and soft skills.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

phData

SEPTEMBER 27, 2024

Both persistent staging and data lakes involve storing large amounts of raw data. But persistent staging is typically more structured and integrated into your overall customer data pipeline. It’s not just a dumping ground for data, but a crucial step in your customer data processing workflow.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

phData

NOVEMBER 4, 2024

With all this packaged into a well-governed platform, Snowflake continues to set the standard for data warehousing and beyond. Snowflake supports data sharing and collaboration across organizations without the need for complex data pipelines. Dataiku and Snowflake: A Good Combo?

Machine Learning 69

Machine Learning Machine Learning Data Science ML 69